Senior Data Engineer II, AI Native

About the role

Life360 is seeking a Senior Data Engineer II to contribute to our AI-native data platform. You will be instrumental in developing and maintaining systems that process and store vast amounts of user data, enabling real-time analytics, machine learning, and experimentation. This role requires a strong engineering foundation and a proactive approach to data system excellence.

Key facts

What you'll do

• Design, construct, and manage distributed data pipelines for both streaming and batch data, covering ingestion, transformation, and storage.
• Implement automated testing and hardening for data workflows to ensure operational stability at scale.
• Develop logical and physical data models that adapt to changing business requirements.
• Build and support features crucial for machine learning model development.
• Partner with product, analytics, and data science teams to extract business value from data.

Requirements

• A minimum of 5 years of experience working with high-volume data infrastructure.
• Extensive knowledge of a modern cloud data warehouse or lakehouse, such as Databricks, Snowflake, or BigQuery, on AWS, GCP, or Azure.
• Proficiency in Python and SQL, including the ability to write and optimize complex queries.
• Practical experience with dbt.
• Experience with large-scale data processing frameworks like Spark or Presto/Trino.
• Solid understanding of data modeling, partitioning techniques, storage formats, and optimizing for analytical performance.
• Hands-on experience using LLMs for tasks like code generation and analysis, including critically reviewing AI-generated output for quality and adherence to standards, and taking ownership of the final work.
• Familiarity with modern data engineering tools, including orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs).
• A Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.

Nice to have

• Experience with experimentation frameworks.
• Experience designing and managing real-time streaming architectures.

Skills & tools

• Python
• SQL
• Databricks (preferred)
• Snowflake
• BigQuery
• AWS
• GCP
• Azure
• dbt
• Spark
• Presto/Trino
• Airflow
• Databricks Workflows
• GitHub Actions
• Terraform
• DABs
• LLMs

Practical notes

• Salary range: $148,000 - $216,500 USD annually.
• Compensation includes base pay, equity, and a comprehensive benefits package.
• Benefits include medical, dental, vision, life, and disability insurance (100% employer-paid for employees), 401(k) with company match, mental wellness programs, flexible PTO, company holidays, and learning and development opportunities.
• Support for remote work setup, including equipment and reimbursements.
• Free Life360 Platinum Membership and free Tile products.
• Visa sponsorship is not available for this role.
• All positions are remote-first within the US.